ArticleDigital health
The role of self-efficacy and information processing in weight loss during an mHealth behavioral intervention.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.The Cochrane database of systematic reviews · 2024Pooled it
- Psychological Determinants of the Weight Cycle: A Review of Perceived Stress and Self-Efficacy.Current obesity reports · 2026Review
- Yes I can! Exploring the impact of self-efficacy in a digital weight loss intervention.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Article
- Designing sustainable mobile weight management applications: information technology (IT) experts perspectives.mHealth · 2024Article
- Article
- A 2.5-Year Weight Management Program Using Noom Health: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2022Article
- Video-based smartphone app ('VIDEA bewegt') for physical activity support in German adults: a single-armed observational study.BMJ open · 2022Observational
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Self-efficacy (SE) and information processing (IP) may be important constructs to target when designing mHealth interventions for weight loss. The goal of this study was to examine the relationship between SE and IP with weight loss at six-months as part of the Dietary Interventions Examining Tracking with mobile study, a six-month randomized trial with content delivered remotely via twice-weekly podcasts. Participants were randomized to self-monitor their diet with either a mobile app (n = 42) or wearable Bite Counter device (n = 39). SE was assessed using the Weight Efficacy Life-Style Questionnaire and the IP variables assessed included user control, cognitive load, novelty, elaboration. Regression analysis examined the relationship between weight loss, SE change & IP at six months. Results indicate that elaboration was the strongest predictor of weight loss (ß =-0.423, P = 0.011) among all SE & IP variables and that for every point increase in elaboration, participants lost 0.34 kg body weight.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.